image-enhancement

在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)

说明：  使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)

一个基础的ICP三维点云处理程序，可用来基础学习。(A basic ICP 3D point cloud processing program can be used for basic learning.)

基于MRF的SAR图像分割，在空域下进行建模，对初学者很有帮助。(SAR image segmentation based on MRF modeling in airspace, useful for beginners.)

编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)

原创基于c++语言编程实现了MC算法在三维图像处理中的应用，以及有许多二维图像到三维图像表面的重建过程算法。通过VC2008，编译已通过。(I have realized MC algorithm about the application of processing 3-D image based on C++ language also realised the technology on image surface reconstruction from 2-D to 3-D image.They are all compiled successfully using VS2008)

基于分形维数的图像分割，讶究 Blog欢迎您~~(www.iobeta.com iobeta.com www.vcbeta.net vcbeta.net)

1.能够对简单瑕疵点进行检测：正常线、断线、重线、跳线、平纹面料、平纹面料疵点、水印疵点、染色疵点 能够对不同的纹理布匹进行检测：平纹、斜纹等(翻译 1. Be able to perform simple point defect detection: the normal lines, broken, heavy lines, jumpers, plain weave, plain weave fabric faults, watermark defects, dyeing defects Able to detect different textures of cloth: plain weave, twill)

chan和vese的多水平集算法，可以用2条初始水平集来演化，从而达到检测多目标的目的。(chan and the multi-level set algorithm, you can use two sets to the initial level of evolution, so as to achieve the goal of multi-purpose.)

说明：  用于处理亮度不一样或者曝光时间长短不一样的图像，通过图像融合增强图像效果。(Used to process images with different brightness or different exposure time, and enhance the image effect through image fusion.)